| Subject ID | NMC043 |
| Sex | MALE |
| Dominant hand | LEFT |
| Test date and time | 2022-11-30 14:53 |
| Test battery | Circle, Spiral, Elel, FITTS Short Modified, FITTS Long Modified, ZigZag, ZigZag Offset |
| Operator comment | OLD PATIENT MADOPAR 3X1\4 |
Parkinson’s Disease Evaluation
Important
This report is intended to assist qualified Health Care Profesionals (HCP) in the assessment of an individual referred under the suspicion of having Parkinson’s Disease.
Clinical Context
This report presents several AI metrics derived from objective measures from individuals performing a battery of test using Manus Neurodynamica NeuroMotor PenTM.
These presented metrics combine factors from detailed measurement recordings made whilst the individual performs a battery of well established neurological test tasks.
The metrics have been assessed in a UK reference population and an individual’s results are presented in this clinical context. The HCP should review Clinical,Reference, Study et al [1] to establish applicability and limitations.
The information in this report should be used in the context of a full neurological assessment conducted to the current standard of care practices to establish a diagnosis.
Subject and Recording Details
Overall Assessment
PD
Subject performance similar to PD population (recommend review of report details)
Clinical context
In the clinical reference population, 7 individuals with a value less than 0.53 were subsequently diagnosed with PD. That is, 16.67% of the PD diagnoses in the study.
Additionally, 0 individuals with a value greater or equal to 0.53 were subsequently diagnosed as non PD. That is, 0.0% of the non PD diagnoses in the study.
Symptom Scores
These mini boxplots show the scores in a clinical context. Currently against the ‘Walker study’ data. A bigger pool would be much better (so max 83 individuals, usually lower if raw data did not result in successful classification).
Micrographia
The micrographia symptom assessment is derived from a combination of factors in the elel task.
{'FN': 2, 'TN': 2, 'TP': 40, 'FP': 28}Tremor
The tremor score is a combination of features in the circle, spiral and both zizag tasks.
{'FN': 24, 'TN': 20, 'TP': 18, 'FP': 10}Bradykinesia
The bradykinesia score is a combination of features in the circle, spiral, both zizag and elel tasks.
{'FN': 23, 'TN': 13, 'TP': 19, 'FP': 17}Spatial Accuracy
The accuracy score is a combination of factors in the spiral, both zigzags and both Fitts tasks.
{'FN': 16, 'TN': 10, 'TP': 26, 'FP': 20}Test Battery Details
2023-03-12 20:53:49.330 | INFO | neuromotor_pen.data:_parse_header:693 - Loading New Data Version...ManusData_pd_NMC043_30112022031525.JSONCircle
Circle Segment 1
Duration 10.48 s, Accuracy Estimate 0.955 (lower is better)
Circle Segment 2
Duration 10.4 s, Accuracy Estimate 1.518 (lower is better)
Circle Segment 3
Duration 10.6 s, Accuracy Estimate 1.351 (lower is better)
Circle Segment 4
Duration 11.8 s, Accuracy Estimate 0.832 (lower is better)
Circle Segment 5
Duration 13.0 s, Accuracy Estimate 0.992 (lower is better)
Circle Segment 6
Duration 13.64 s, Accuracy Estimate 1.056 (lower is better)
Circle Segment 7
Duration 14.08 s, Accuracy Estimate 0.916 (lower is better)
Circle Segment 8
Duration 13.44 s, Accuracy Estimate 1.361 (lower is better)
Circle Segment 9
Duration 12.0 s, Accuracy Estimate 0.852 (lower is better)
Circle Segment 10
Duration 10.6 s, Accuracy Estimate 2.024 (lower is better)
Spiral
Spiral Segment 1
Duration 36.16 s, Accuracy Estimate 1.69 (lower is better)
Spiral Segment 2
Duration 39.04 s, Accuracy Estimate 1.501 (lower is better)
Spiral Segment 3
Duration 34.64 s, Accuracy Estimate 1.57 (lower is better)
Spiral Segment 4
Duration 34.6 s, Accuracy Estimate 1.744 (lower is better)
Spiral Segment 5
Duration 36.48 s, Accuracy Estimate 1.65 (lower is better)
Spiral Segment 6
Duration 37.8 s, Accuracy Estimate 1.672 (lower is better)
Spiral Segment 7
Duration 36.44 s, Accuracy Estimate 1.657 (lower is better)
Elel
Elel Segment 1
Elel Segment 2
Elel Segment 3
Elel Segment 4
Elel Segment 5
Elel Segment 6
Elel Segment 7
Elel Segment 8
Elel Segment 9
Elel Segment 10
Elel Segment 11
Elel Segment 12
Elel Segment 13
Elel Segment 14
Elel Segment 15
FITTS Short Modified
FITTS Long Modified
ZigZag
ZigZag Segment 1
Duration 31.88 s, Accuracy Estimate 2.288 (lower is better)
ZigZag Segment 2
Duration 26.88 s, Accuracy Estimate 2.246 (lower is better)
ZigZag Segment 3
Duration 30.72 s, Accuracy Estimate 2.62 (lower is better)
ZigZag Segment 4
Duration 29.64 s, Accuracy Estimate 1.997 (lower is better)
ZigZag Segment 5
Duration 31.68 s, Accuracy Estimate 2.612 (lower is better)
ZigZag Offset
ZigZag Offset Segment 1
Duration 29.0 s, Accuracy Estimate 0.036 (lower is better)
ZigZag Offset Segment 2
Duration 24.04 s, Accuracy Estimate 0.042 (lower is better)
ZigZag Offset Segment 3
Duration 20.56 s, Accuracy Estimate 0.04 (lower is better)
ZigZag Offset Segment 4
Duration 20.72 s, Accuracy Estimate 0.033 (lower is better)
ZigZag Offset Segment 5
Duration 18.24 s, Accuracy Estimate 0.071 (lower is better)
Appendices
Misc
Currently a dumping ground for things that could be included or previous output style.
Note
Putting all the results out here but will not be in a final report.
| HiSpec | {‘HiSpec_class’: ‘NOT PD’, ‘HiSpec_score’: 0.79} |
| RanFor | {‘RanFor_class’: ‘PD’, ‘RanFor_score’: 0.53} |
| BM_May22 | {‘BM_May22_class’: ‘PD’, ‘BM_May22_score’: 0.9755263041421927} |
| BM_HC_Sep22 | {‘BM_HC_Sep22_class’: ‘Patient’, ‘BM_HC_Sep22_score’: 0.940284778726769} |
| BM_PD_Sep22 | {‘BM_PD_Sep22_class’: ‘PD’, ‘BM_PD_Sep22_score’: 0.6672511569026484} |
